Search

PythonReactSEOPDF

bearcove AI Skills

GitHub ↗

Browse published AI skills maintained by bearcove. Compare skill descriptions and follow each source repository for setup instructions.

Author statistics

Indexed skills

9

Repository stars across indexed skills

236

Repository forks

14

Average repository stars per indexed skill

26

Repository stars may repeat across skills from the same repository.

9 skills

Browse skills

GitHub

styx

bearcove

Styx configuration language syntax and schema reference. Use when writing or editing .styx files, creating schemas, or debugging syntax errors. Covers syntax (scalars, objects, sequences, tags, heredocs), schem...

GitHub

styx

bearcove

Styx configuration language syntax and schema reference. Use when writing or editing .styx files, creating schemas, or debugging syntax errors. Covers syntax (scalars, objects, sequences, tags, heredocs), schem...

GitHub

debugging

bearcove

Debugging conventions for pikru. Use when adding debug traces or investigating issues. Important rule - leave debug traces in place.

GitHub

git-commands

bearcove

Git command conventions for pikru. Use when running any git commands to avoid blocking on interactive pager.

GitHub

testing

bearcove

Testing conventions for pikru. Use when running tests to avoid timeouts. DO NOT run the full test suite.

GitHub

codebase-layout

bearcove

Codebase organization for pikru. Use when you need to find where specific functionality lives.

GitHub

idiomatic-rust

bearcove

Idiomatic Rust patterns for pikru C port. Use when writing or reviewing Rust code ported from C. Don't write C in Rust - the goal is correct behavior, not line-by-line translation.

GitHub

code-annotations

bearcove

Code annotation requirements for pikru. Use when writing or porting Rust functions from C code. All ported functions must have cref comments.

GitHub

subtest-isolation

bearcove

Create minimal subtests to isolate and fix complex bugs. Use when a test fails and the issue is buried in complexity.

The default order uses GitHub repository stars from our indexed data. Stars belong to the source repository and may be shared by multiple skills. They indicate repository interest, not skill installs or an independent quality score.